Ben Bajarin
CEO & Principal Analyst of Creative Strategies, Semiconductors-to-Software Research
TeraWulf looks well positioned as Google seeks third-party infrastructure that lets it bring its own hardware. Google said on earnings that relying on third parties for infrastructure hits its margins, which likely favors hosts that let it deploy its own systems over neoclouds or GPU-as-a-service, making AI infrastructure REITs best placed. @RHouseResearch, who studies this more deeply, also sees TeraWulf as set up well. x.com x.com x.com
Nvidia's CUDA retains developers, putting it among 12 stocks that could dominate the decade ahead. Nebius's GPU rental price rise signals demand; Fabrinet and Credo supply AI connectivity. DraftKings has betting scale; Microsoft has Azure and an OpenAI partnership; Figma anchors design work; Shopify powers stores. TeraWulf pivots power sites to AI leases; Constellation, the largest US nuclear operator, signs big-tech power deals; Meta spends on AI; Uber has autonomous-vehicle partnerships. x.com … Show more
TeraWulf stands out among bitcoin miners pivoting to AI data centers because its massive 20-year Anthropic deal gives it real legitimacy, and some capacity is already energized, moving it beyond pure hype. Plenty of execution and buildout risk remains before that partnership produces, and the chart is losing its uptrend line, suggesting more short-term chop. Long term, it should do well if the buildout goes well and the AI revolution is real. x.com
Heavily indebted data-center and compute names, including CoreWeave, IREN, Cipher, TeraWulf, Core Scientific, Riot, MARA, Hut 8, Bitdeer and Bit Digital, are vulnerable if credit tightens next year. High-debt firms get punished in tightening, especially if a credit freeze stalls projects, and panicked markets sell everything. TeraWulf shows the risk, with a $427.6 million Q1 net loss, $713 million of quarterly cash burn and $7.09 billion of liabilities. This is a macro basket trade. x.com x.com … Show more
AI infrastructure bottlenecks could give eight stocks as much as 18x upside. Nvidia supplies frontier-model GPUs; Broadcom and Marvell supply custom silicon and networking; TSMC makes advanced chips; Micron supplies sold-out HBM; Vertiv provides power and cooling; Palantir monetizes enterprise AI; Alphabet spans TPUs, research, cloud and apps. The list tracks where AI infrastructure spending is flowing. x.com x.com
Google's use of third-party compute amid its own supply constraints creates demand for neoclouds such as IREN, Nebius and CoreWeave. Google's CFO said usage started at the end of Q3 and will ramp in Q4; Google spent $51.4 billion on capex, more than double a year ago, and expects a significant increase in 2027. IREN and Nebius stand out because their contracts carry large prepayments. The opportunity favors operators that secure power, deliver capacity on time and serve customers profitably. … Show more
TeraWulf's reported $20 billion lease with Anthropic and roughly 3 gigawatts of compute capacity look like barely hidden fraud for a formerly bankrupt company now competing with Meta on capacity. x.com x.com
TeraWulf sits at AI's next bottleneck, power, having shifted its crypto mining facilities into leasing power for AI. The grid cannot deliver enough electricity to run the chips companies have bought at full capacity, and nuclear will take a long time to approve and regulate. TeraWulf has now announced a $19 billion deal with Anthropic. x.com
Alphabet's ownership of the whole AI stack, from chips to cloud to distribution, gives it a structural cost advantage rivals can't easily copy. It alone designs its own TPUs, runs a global cloud and owns Search, Android, YouTube and Workspace, so aggressive inference pricing is a strategic weapon. As inference overtakes training, case studies show moving workloads from GPUs to TPUs can cut operating costs by over 50%. Microsoft and Amazon are building custom chips, but Alphabet is years ahead. … Show more
Cheaper open-weight models make AI infrastructure more valuable, since falling cost per token creates more compute demand, as Jevons saw with coal. Chamath predicts top models will soon be open source; if models are free, the moat moves to power, land, buildings and chips in the ground, and supply grows only at the speed of substations. IREN has 5GW secured and $1B ARR; Nebius and CoreWeave sell compute; Cipher and TeraWulf rent buildings; Micron has pricing power; Credo and Lumentum move data. … Show more
Financing announcements point to more accelerator demand, supporting semiconductors. About $200bn in announced Meta, Anthropic/Broadcom and SpaceX/Nvidia financing likely drives $400bn in XPU purchases. Data centers burn cash until lit, then cash flow 20-40% annually; AI spend rising from 0.1% to 0.5-1% of current payroll could balance the buildout if agents replace roles. Sustainable token demand is the bet, but smaller local models are the bigger risk, though not an immediate concern. x.com … Show more
